SEARCH · PubMed Health

Results for “functional inference”

Explore indexed PubMed citations for clinical trials, systematic reviews and public health research. Read source abstracts and follow each citation to its original PubMed record.

Quote a phrase for an exact phrase match. Source license links do not imply unrestricted reuse.

At least 37 records · Page 2Linked to original sources

PubMed2006

Structure-function inferences based on molecular modeling, sequence-based methods and biological data analysis of snake venom lectins.

Lectins are a structurally and functionally diverse group of proteins from different sources, capable to recognize and bind specifically carbohydrates. Several snake venoms contain calcium-dependent true lectins (SVLs) that recognize galactose. Herein, in order to enlighten some of the structure-function relationships of snake venom lectins (SVLs), we constructed theoretical models for 10 SVLs based on the Crotalus atrox lectin (CaL), the only SVL crystal structure available, and compared with other animal and plant lectins, and C-type lectin-like proteins (CLPs) that do not bind carbohydrates. Although these are theoretical structures, we could identify some SVL features, including: (i) a singular intrachain disulfide bond (Cys(38)-Cys(133)) that is not present in CLPs; (ii) a significant reorientation (39-41A) of the 80's loop position that folds back to the globular domain, assists the carbohydrate recognition domain (CRD), and orients the dimer formation, even in BfL-1 and BfL-2, which did not present the Cys(86) interchain; (iii) a CRD presenting a negative and concave surface that allows the interaction with the specific saccharide hydroxyl groups and calcium ion; (iv) the role of water molecules in some interchain interactions, similar to other animal and plant lectins; and (v) the inability of forming oligomers in contrast to CaL and some CLPs, such as convulxin.

Amino Acid Sequence↗

PubMed2003

A computational study of Shewanella oneidensis MR-1: structural prediction and functional inference of hypothetical proteins.

The genomes of many organisms have been sequenced in the last 5 years. Typically about 30% of predicted genes from a newly sequenced genome cannot be given functional assignments using sequence comparison methods. In these situations three-dimensional structural predictions combined with a suite of computational tools can suggest possible functions for these hypothetical proteins. Suggesting functions may allow better interpretation of experimental data (e.g., microarray data and mass spectroscopy data) and help experimentalists design new experiments. In this paper, we focus on three hypothetical proteins of Shewanella oneidensis MR-1 that are potentially related to iron transport/metabolism based on microarray experiments. The threading program PROSPECT was used for protein structural predictions and functional annotation, in conjunction with literature search and other computational tools. Computational tools were used to perform transmembrane domain predictions, coiled coil predictions, signal peptide predictions, sub-cellular localization predictions, motif prediction, and operon structure evaluations. Combined computational results from all tools were used to predict roles for the hypothetical proteins. This method, which uses a suite of computational tools that are freely available to academic users, can be used to annotate hypothetical proteins in general.

ATP-Binding Cassette Transporters↗

PubMed1992

Features of spliceosome evolution and function inferred from an analysis of the information at human splice sites.

An information analysis of the 5' (donor) and 3' (acceptor) sequences spanning the ends of nearly 1800 human introns has provided evidence for structural features of splice sites that bear upon spliceosome evolution and function: (1) 82% of the sequence information (i.e. sequence conservation) at donor junctions and 97% of the sequence information at acceptor junctions is confined to the introns, allowing codon choices throughout exons to be largely unrestricted. The distribution of information at intron-exon junctions is also described in detail and compared with footprints. (2) Acceptor sites are found to possess enough information to be located in the transcribed portion of the human genome, whereas donor sites possess about one bit less than the information needed to locate them independently. This difference suggests that acceptor sites are located first in humans and, having been located, reduce by a factor of two the number of alternative sites available as donors. Direct experimental evidence exists to support this conclusion. (3) The sequences of donor and acceptor splice sites exhibit a striking similarity. This suggests that the two junctions derive from a common ancestor and that during evolution the information of both sites shifted onto the intron. If so, the protein and RNA components that are found in contemporary spliceosomes, and which are responsible for recognizing donor and acceptor sequences, should also be related. This conclusion is supported by the common structures found in different parts of the spliceosome.

Base Sequence↗

PubMed1985

Receptive-field-like functions inferred from large-area psychophysical measurements.

By means of quasi-sinusoidal, circular stimulus patterns, frequency modulated to correct for the radial component of retinal inhomogeneity, we attempt to make all eccentricities within a 16-deg field contribute equally to the threshold response. Wide-field contrast-sensitivity data obtained with these frequency-modulated stimuli are modeled using a canonical form of local contrast sensitivity function (CSF), scaled linearly with eccentricity. Calculating Fourier transforms of the constant-velocity, local CSF, we obtain line-spread and point-spread functions that can also be interpreted as receptive-field responses at various eccentricities. These results are compared to other data on local spatial processing in the retina.

Fovea Centralis↗

PubMedDate not supplied

Functional inferences from blind ab initio protein structure predictions.

Ab initio protein structure prediction methods have improved dramatically in the past several years. Because these methods require only the sequence of the protein of interest, they are potentially applicable to the open reading frames in the many organisms whose sequences have been and will be determined. Ab initio methods cannot currently produce models of high enough resolution for use in rational drug design, but there is an exciting potential for using the methods for functional annotation of protein sequences on a genomic scale. Here we illustrate how functional insights can be obtained from low-resolution predicted structures using examples from blind ab initio structure predictions from the third and fourth critical assessment of structure prediction (CASP3, CASP4) experiments.

Computational Biology↗

PubMed1983

Functional inferences from crystals of Escherichia coli trp repressor.

We have reproducibly grown crystals of L-tryptophan . trp aporepressor and indole-3-propionate . trp aporepressor complexes from Escherichia coli which are suitable for x-ray diffraction analysis. The active repressor, L-tryptophan . aporepressor, crystallizes in both trigonal (P3(1)21 or P3(2)21) and tetragonal (P4(1)22 or P4(3)22) forms which diffract to at least 2.0 and 2.5 A, respectively. The trigonal form has one-half of the functional dimer/asymmetric unit; therefore, the trp repressor molecule has an axis of 2-fold rotational symmetry corresponding to the lattice dyad. The inactive complex, indole-3-propionate . aporepressor, or "pseudorepressor," forms tetragonal crystals that also diffract to at least 2.5 A and are isomorphous to those of the active repressor. Slight differences between their diffraction patterns indicate modest structural differences between active and inactive complexes that are presumably mediated by the alpha-amino group of L-tryptophan and account for operator-specific binding.

Apoproteins↗

PubMed1969

Neuron function inferred from behavioral and electrophysiological extimates of refractory period.

The refrcactory period of neurons mediating an electrically elicited behavior (self-stimulation) was estimated by varying the intrapair pulse separation in a stimulating train made up of pulse pairs and measuring the intensity of the elicited behavior. Two neuronal systems with different refractory periods were indicated. Single-unit recording in acute preparations stimulated through self-stimulation electrodes revealed primarily two classes of units. Each class gave refractory period estimates characteristic of one of the behaviorally indicated systems. The experiments illustrate a technique for establishing functional relations between single units in the brain and gross behavior.

Action Potentials↗

PubMed2002

Evolution of the TIR, tolls and TLRs: functional inferences from computational biology.

The mammalian toll-like receptors (TLRs) are products of an evolutionary process that began prior to the separation of plants and animals. The most conserved protein motif within the TLRs is the TIR, which denotes Toll, the Interleukin-1 receptor, and plant disease Resistance genes. To trace the ancestry of the TLRs, it is desirable to draw upon the sequences of TIR domains from TLRs of diverse vertebrate species, including species with known dates of divergence (i.e., representatives of Mammalia and Aves) in order to establish a relationship between time and genetic divergence. It appears that a gene ancestral to modern TLRs 1 and 6 duplicated approximately 130 million years ago, only shortly before the speciation event that led to humans and mice. Though it is not represented in mice, TLR10 split from the TLR[1/6] precursor about 300 million years ago. The origins of other TLRs are more ancient, dating to the origins of vertebrate life, and some present-day vertebrate species appear to have many more TLRs than others. Moreover, the patterns of TLR expression are quite variable at the level of tissues, even among closely related species. A given TLR in species that are related by descent from a common ancestor may acquire different duties within each descendant line, so that some microbial inducers are avidly recognized in one species but not in others; likewise the intensity and the antomic location of an innate immune response may vary considerably. In this review, we discuss the computational methods used to analyze divergence of the TIR, and the conclusions that may be safely drawn.

Amino Acid Sequence↗

PubMed1999

Defined characteristics of cathepsin B-like proteins from nematodes: inferred functional diversity and phylogenetic relationships.

Numerous cathepsin B-like protein sequences (CBLs) have been reported from nematodes. However, the relationships among these proteins remain unclear. Here, expression of several CBL transcripts in the gut of the parasitic nematode Haemonchus contortus was demonstrated. To assess potential functional diversity, multiple nematode CBL sequences were compared with known functional domains of cathepsin B. These domains included the occluding loop, S2' and S2 subsites, and the pro region. Four groups of CBLs were defined based on variable characteristics in the occluding loop region, which incorporates a portion of the S2' subsite. Further diversity was observed in amino acids expected to contribute to the S2 subsite. In addition, short signature sequences near the cysteinyl active site region characterized known CBLs of parasites from the orders Strongylida and Rhabditida. The criteria established were used to identify two predicted CBLs from parasitic (Ascaris suum) and free-living (Caenorhabditis elegans) nematodes as potential orthologues, and provided a basis to evaluate orthologue status of other CBLs. Variability in the domains analyzed suggests substantial functional diversity in enzymatic properties of nematode CBLs. Results suggest that the selective amplification and evolution of distinct CBL lineages has contributed to differences in CBLs among species and groups of nematodes. Nutrient digestion is one potential factor promoting CBL diversification in these organisms.

Amino Acid Sequence↗

PubMed1999

The use of gene clusters to infer functional coupling.

Previously, we presented evidence that it is possible to predict functional coupling between genes based on conservation of gene clusters between genomes. With the rapid increase in the availability of prokaryotic sequence data, it has become possible to verify and apply the technique. In this paper, we extend our characterization of the parameters that determine the utility of the approach, and we generalize the approach in a way that supports detection of common classes of functionally coupled genes (e.g., transport and signal transduction clusters). Now that the analysis includes over 30 complete or nearly complete genomes, it has become clear that this approach will play a significant role in supporting efforts to assign functionality to the remaining uncharacterized genes in sequenced genomes.

Databases, Factual↗

PubMed2004

Functional inference from non-random distributions of conserved predicted transcription factor binding sites.

MOTIVATION: Our understanding of how genes are regulated in a concerted fashion is still limited. Especially, complex phenomena like cell cycle regulation in multicellular organisms are poorly understood. Therefore, we investigated conserved predicted transcription factor binding sites (TFBSs) in man-mouse upstream regions of genes that can be associated to a particular cell cycle phase in HeLa cells. TFBSs were predicted from selected binding site motifs (represented by position weight matrices, PWMs) based on a statistical approach. A regulatory role for a transcription factor is more probable if its predicted TFBSs are enriched in upstream regions of genes, that are associated with a subset of cell cycle phases. We tested for this association by computing exact P-values for the observed phase distributions under the null distribution defined by the relative amount of conserved upstream sequence of genes per cell cycle phase. We considered non-exonic and 5'-untranslated region (5'-UTR) binding sites separately and corrected for multiple testing by taking the false discovery rate into account. RESULTS: We identified 22 non-exonic and 11 5'-UTR significant PWM phase distributions although expecting one false discovery. Many of the corresponding transcription factors (e.g. members of the thyroid hormone/retinoid receptor subfamily) have already been associated with cell cycle regulation, proliferation and development. It appears that our method is a suitable tool for detecting putative cell cycle regulators in the realm of known human transcription factors. AVAILABILITY: Further details and supplementary data can be obtained from http://corg.molgen.mpg.de/cellcycle

Animals↗

PubMed2005

Inferring functional information from domain co-evolution.

MOTIVATION: Co-evolution is a powerful mechanism for understanding protein function. Prior work in this area has shown that co-evolving proteins are more likely to share the same function than those that do not because of functional constraints. Many of the efforts founded on this observation, however, are at the level of entire sequences, implicitly assuming that the complete protein sequence follows a single evolutionary trajectory. Since it is well known that a domain can exist in various contexts, this assumption is not valid for numerous multi-domain proteins. Motivated by these observations, we introduce a novel technique called Coevolutionary-Matrix that captures co-evolution between regions of two proteins. Instead of using existing domain information, the method exploits residue-level conservation to identify co-evolving regions that might correspond to domains. RESULTS: We show that the Coevolutionary-Matrix method can detect greater number of known functional associations for the Escherichia coli proteins when compared with earlier implementations of phylogenetic profiles. Furthermore, co-evolving regions of proteins detected by our method enable us to make hypotheses about their specific functions, many of which are supported by existing biochemical studies.

Algorithms↗

PubMed2006

Inferring functional pathways from multi-perturbation data.

BACKGROUND: Recently, a conceptually new approach for analyzing gene networks, the Functional Influence Network (FIN) was presented. The FIN approach uses the measured performance of a given cellular function under different multi-perturbations, to identify the main functional pathways and interactions underlying its processing. Here we present and study an iterative, extended version of FIN, the Functional Influence Network Extractor (FINE), which is specifically geared towards the accurate analysis of sparse cellular systems. We employ it to study a conceptually fundamental question of practical importance--how well should we know the system studied (such that we can predict its performance) so that we can understand its workings (i.e., chart its underlying functional network)? RESULTS AND CONCLUSIONS: The performance of FINE is studied in both simulated and biological sparse systems. It successfully obtains an accurate and compact description of the underlying functional network even with limited data, and outperforms FIN. We show that prior estimates of a system's functional complexity are instrumental in determining how much predictive knowledge is required to accurately chart its underlying functional network. AVAILABILITY: The FINE software is available for download at http://www.cns.tau.ac.il/resc.html.

Algorithms↗

PubMed2002

Inferring Function from Structure: Relationship of Magnetic Resonance Imaging-Detected Hippocampal Abnormality and Memory Function in Epilepsy.

Although temporal lobectomy is an effective alternative treatment for many patients with medication-resistant epilepsy, the risk of cognitive morbidity is not inconsequential. The ability to predict cognitive outcome is increasingly dependent on convergent information from multiple sources, including direct (e.g., Wada test) and indirect (e.g., psychometric testing) functional assessments along with magnetic resonance imaging studies that detect structural abnormalities. This brief review summarizes the relationship between imaging and function at baseline and predicting cognitive outcome following temporal lobectomy.

Journal Article↗

PubMed2006

Quadratic inference functions for varying-coefficient models with longitudinal data.

Nonparametric smoothing methods are used to model longitudinal data, but the challenge remains to incorporate correlation into nonparametric estimation procedures. In this article, we propose an efficient estimation procedure for varying-coefficient models for longitudinal data. The proposed procedure can easily take into account correlation within subjects and deal directly with both continuous and discrete response longitudinal data under the framework of generalized linear models. The proposed approach yields a more efficient estimator than the generalized estimation equation approach when the working correlation is misspecified. For varying-coefficient models, it is often of interest to test whether coefficient functions are time varying or time invariant. We propose a unified and efficient nonparametric hypothesis testing procedure, and further demonstrate that the resulting test statistics have an asymptotic chi-squared distribution. In addition, the goodness-of-fit test is applied to test whether the model assumption is satisfied. The corresponding test is also useful for choosing basis functions and the number of knots for regression spline models in conjunction with the model selection criterion. We evaluate the finite sample performance of the proposed procedures with Monte Carlo simulation studies. The proposed methodology is illustrated by the analysis of an acquired immune deficiency syndrome (AIDS) data set.

Acquired Immunodeficiency Syndrome↗

PubMed2004

Probing microRNAs with microarrays: tissue specificity and functional inference.

MicroRNAs (miRNAs) are short, stable, noncoding RNAs involved in post-transcriptional gene silencing via hybridization to mRNA. Few have been thoroughly characterized in any species. Here, we describe a method to detect miRNAs using micro-arrays, in which the miRNAs are directly hybridized to the array. We used this method to analyze miRNA expression across 17 mouse organs and tissues. More than half of the 78 miRNAs detected were expressed in specific adult tissues, suggesting that miRNAs have widespread regulatory roles in adults. By comparing miRNA levels to mRNA levels determined in a parallel microarray analysis of the same tissues, we found that the expression of target mRNAs predicted on the basis of sequence complementarity is unrelated to the tissues in which the corresponding miRNA is expressed.

Animals↗

PubMed1988

The brain of Thylacosmilus atrox. Extinct South American saber-tooth carnivore marsupial.

Two endocasts of the extinct marsupial Thylacosmilus atrox are studied. The specimens were found in outcrops at present considered of Pliocene Age. The followings are the conclusions arrived in the study: 1) The encephalon of Thylacosmilus atrox shows a well developed neocortex, with a deep rhinal fissure and the major marsupial neocortical sulci well observable. The homologies of the sulci was certainly easy in the major part of them, and consequently, functional inferencies were possible. 2) The somatic neocortical area shows certain distinctive characteristics. It appears that the size proportions between the mandibular and maxillary areas is reversed in T. atrox, which appears congruent with the infered function of its peculiar cranial anatomy. 3) The relative brain size of T. atrox is very heigh for a Polyprotodont marsupial being its encephalization quotients and progression indexes at the level of the living Diprotodonta. 4) Thylacosmilus atrox was a very peculiar extinct carnivore marsupial, which at the Late Tertiary in South America reached higher levels of encephalization than the posterior or living representatives of its same Order.

Animals↗

PubMed2026

An embedding-based framework enables statistical testing of gene-set function hypotheses inferred by large language models.

Emerging large language models (LLMs) can infer gene functions directly from gene lists, enabling hypothesis generation without predefined gene sets. However, these LLM-derived predictions are qualitative, and principled statistical validation is lacking. Here, we develop an embedding-based statistical framework that transforms gene and function descriptions into vector representations, enabling statistical testing of gene-gene and gene-function relationships and quantitative prioritization of de novo functional hypotheses inferred by LLMs. We benchmark seven state-of-the-art embedding models using curated and retrieval-augmented literature-derived gene descriptions across diverse biological contexts. OpenAI's text-embedding-3-large and Google's gemini-embedding-001 perform best, capturing gene-gene functional relationships in 88.7-92.5% of Gene Ontology biological processes and approximately 98.6% of canonical pathways. In gene-function association analyses, these models achieve high sensitivity (95.2-98.4%) and specificity (72.7-84.3%). Through contamination analysis and evaluation using experimentally informed protein assembly gene sets, our framework distinguishes biologically meaningful LLM-inferred hypotheses from noise, outperforming confidence-based inference and conventional enrichment analysis. We further develop the open-source R package DEGEmbedR and demonstrate its utility for interpreting a drug perturbation-derived differentially expressed gene (DEG) signature lacking significant conventional enrichment results. Together, these results establish LLM-derived embeddings as a quantitative foundation for functional genomics and the statistical validation of LLM-based gene function inference.

Large Language Models↗